Papers
11,015 papers found
Towards better understanding of gradient-based attribution methods for Deep Neural Networks
Marco Ancona, Enea Ceolini, Cengiz Öztireli et al.
Towards Deep Learning Models Resistant to Adversarial Attacks
Aleksander Madry, Aleksandar Makelov, Ludwig Schmidt et al.
Towards Image Understanding from Deep Compression Without Decoding
Robert Torfason, Fabian Mentzer, Eirikur Agustsson et al.
Towards Neural Phrase-based Machine Translation
Po-Sen Huang, Chong Wang, Sitao Huang et al.
Towards Reverse-Engineering Black-Box Neural Networks
Seong Joon Oh, Max Augustin, Mario Fritz et al.
Towards Synthesizing Complex Programs From Input-Output Examples
Xinyun Chen, Chang Liu, Dawn Song
Training and Inference with Integers in Deep Neural Networks
Shuang Wu, Guoqi Li, Feng Chen et al.
Training Confidence-calibrated Classifiers for Detecting Out-of-Distribution Samples
Kimin Lee, Honglak Lee, Kibok Lee et al.
Training GANs with Optimism
Constantinos Daskalakis, Andrew Ilyas, Vasilis Syrgkanis et al.
TRAINING GENERATIVE ADVERSARIAL NETWORKS VIA PRIMAL-DUAL SUBGRADIENT METHODS: A LAGRANGIAN PERSPECTIVE ON GAN
Xu Chen, Jiang Wang, Hao Ge
TreeQN and ATreeC: Differentiable Tree-Structured Models for Deep Reinforcement Learning
Gregory Farquhar, Tim Rocktäschel, Maximilian Igl et al.
TRUNCATED HORIZON POLICY SEARCH: COMBINING REINFORCEMENT LEARNING & IMITATION LEARNING
Wen Sun, J. Andrew Bagnell, Byron Boots
Trust-PCL: An Off-Policy Trust Region Method for Continuous Control
Ofir Nachum, Mohammad Norouzi, Kelvin Xu et al.
Twin Networks: Matching the Future for Sequence Generation
Dmitriy Serdyuk, Nan Rosemary Ke, Alessandro Sordoni et al.
Unbiased Online Recurrent Optimization
Corentin Tallec, Yann Ollivier
Understanding Deep Neural Networks with Rectified Linear Units
Raman Arora, Amitabh Basu, Poorya Mianjy et al.
Understanding image motion with group representations
Andrew Jaegle, Stephen Phillips, Daphne Ippolito et al.
Understanding Short-Horizon Bias in Stochastic Meta-Optimization
Yuhuai Wu, Mengye Ren, Renjie Liao et al.
Universal Agent for Disentangling Environments and Tasks
Jiayuan Mao, Honghua Dong, Joseph J. Lim
Unsupervised Cipher Cracking Using Discrete GANs
Aidan N. Gomez, Sicong Huang, Ivan Zhang et al.
Unsupervised Learning of Goal Spaces for Intrinsically Motivated Goal Exploration
Alexandre Péré, Sébastien Forestier, Olivier Sigaud et al.
Unsupervised Machine Translation Using Monolingual Corpora Only
Guillaume Lample, Alexis Conneau, Ludovic Denoyer et al.
Unsupervised Neural Machine Translation
Mikel Artetxe, Gorka Labaka, Eneko Agirre et al.
Unsupervised Representation Learning by Predicting Image Rotations
Spyros Gidaris, Praveer Singh, Nikos Komodakis